Dynamic Data Techniques
Mariya emphasizes the importance of working with dynamic data, particularly in real-time analytics like stock market predictions. She highlights the scarcity of resources on websockets, which facilitate data fetching, and expresses her desire for more educational focus on this area. Additionally, she shares her challenges in natural language processing, specifically in refining her neural network models for generating coherent stories.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
639: Simplifying Machine Learning — with Mariya Sha (@PythonSimplified)
Related Questions